Overview

Dataset statistics

Number of variables7
Number of observations286
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.6 KiB
Average record size in memory59.5 B

Variable types

Numeric3
Text3
Categorical1

Dataset

Description인천광역시 미추홀구 관내에 위치한 식당으로 면적이 200제곱 미터 이상 이거나 1일 평균 총 급식 인원이 100명 이상인 집단급식소로 음식물류폐기물이 다량배출되는 사업장 현황에 대한 데이터로 업체명, 도로명주소, 지번주소, 사업장구분,위도,경도 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15081558/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:43:44.528672
Analysis finished2023-12-12 15:43:46.435424
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct286
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.5
Minimum1
Maximum286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T00:43:46.518974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.25
Q172.25
median143.5
Q3214.75
95-th percentile271.75
Maximum286
Range285
Interquartile range (IQR)142.5

Descriptive statistics

Standard deviation82.7053
Coefficient of variation (CV)0.57634355
Kurtosis-1.2
Mean143.5
Median Absolute Deviation (MAD)71.5
Skewness0
Sum41041
Variance6840.1667
MonotonicityStrictly increasing
2023-12-13T00:43:46.689858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
190 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
192 1
 
0.3%
191 1
 
0.3%
189 1
 
0.3%
198 1
 
0.3%
Other values (276) 276
96.5%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%
281 1
0.3%
280 1
0.3%
279 1
0.3%
278 1
0.3%
277 1
0.3%

업체명
Text

Distinct285
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T00:43:46.922384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length17
Mean length8.3181818
Min length2

Characters and Unicode

Total characters2379
Distinct characters388
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique284 ?
Unique (%)99.3%

Sample

1st row(주)드림팰리스
2nd row조가네정육식당
3rd row씨제이프레시웨이 이건산업점
4th row인천미추홀경찰서
5th row쨍하고회뜰날
ValueCountFrequency (%)
스타벅스 5
 
1.3%
용현점 4
 
1.1%
주안점 4
 
1.1%
인천주안점 3
 
0.8%
구내식당 3
 
0.8%
주안역점 3
 
0.8%
나주면옥 2
 
0.5%
명륜진사갈비 2
 
0.5%
본우리집밥 2
 
0.5%
주)스타벅스 2
 
0.5%
Other values (335) 349
92.1%
2023-12-13T00:43:47.304140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
 
3.9%
인 89
 
3.7%
학 73
 
3.1%
천 68
 
2.9%
주 64
 
2.7%
점 58
 
2.4%
교 56
 
2.4%
) 51
 
2.1%
( 51
 
2.1%
원 48
 
2.0%
Other values (378) 1728
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2133
89.7%
Space Separator 93
 
3.9%
Close Punctuation 52
 
2.2%
Open Punctuation 52
 
2.2%
Uppercase Letter 23
 
1.0%
Decimal Number 17
 
0.7%
Other Punctuation 6
 
0.3%
Other Symbol 2
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 89
 
4.2%
학 73
 
3.4%
천 68
 
3.2%
주 64
 
3.0%
점 58
 
2.7%
교 56
 
2.6%
원 48
 
2.3%
스 46
 
2.2%
등 40
 
1.9%
이 32
 
1.5%
Other values (350) 1559
73.1%
Uppercase Letter
ValueCountFrequency (%)
T 4
17.4%
D 4
17.4%
C 3
13.0%
J 2
8.7%
K 2
8.7%
S 2
8.7%
A 1
 
4.3%
B 1
 
4.3%
F 1
 
4.3%
O 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
1 6
35.3%
9 4
23.5%
2 3
17.6%
4 1
 
5.9%
3 1
 
5.9%
6 1
 
5.9%
0 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 51
98.1%
] 1
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 51
98.1%
[ 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
. 2
33.3%
Space Separator
ValueCountFrequency (%)
93
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2135
89.7%
Common 221
 
9.3%
Latin 23
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 89
 
4.2%
학 73
 
3.4%
천 68
 
3.2%
주 64
 
3.0%
점 58
 
2.7%
교 56
 
2.6%
원 48
 
2.2%
스 46
 
2.2%
등 40
 
1.9%
이 32
 
1.5%
Other values (351) 1561
73.1%
Common
ValueCountFrequency (%)
93
42.1%
) 51
23.1%
( 51
23.1%
1 6
 
2.7%
& 4
 
1.8%
9 4
 
1.8%
2 3
 
1.4%
. 2
 
0.9%
4 1
 
0.5%
3 1
 
0.5%
Other values (5) 5
 
2.3%
Latin
ValueCountFrequency (%)
T 4
17.4%
D 4
17.4%
C 3
13.0%
J 2
8.7%
K 2
8.7%
S 2
8.7%
A 1
 
4.3%
B 1
 
4.3%
F 1
 
4.3%
O 1
 
4.3%
Other values (2) 2
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2133
89.7%
ASCII 244
 
10.3%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
38.1%
) 51
20.9%
( 51
20.9%
1 6
 
2.5%
& 4
 
1.6%
T 4
 
1.6%
D 4
 
1.6%
9 4
 
1.6%
2 3
 
1.2%
C 3
 
1.2%
Other values (17) 21
 
8.6%
Hangul
ValueCountFrequency (%)
인 89
 
4.2%
학 73
 
3.4%
천 68
 
3.2%
주 64
 
3.0%
점 58
 
2.7%
교 56
 
2.6%
원 48
 
2.3%
스 46
 
2.2%
등 40
 
1.9%
이 32
 
1.5%
Other values (350) 1559
73.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

도로명주소
Text

Distinct271
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T00:43:47.572476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46.5
Mean length29.744755
Min length1

Characters and Unicode

Total characters8507
Distinct characters221
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique265 ?
Unique (%)92.7%

Sample

1st row인천광역시 미추홀구 주안로 103-18 (주안동)
2nd row인천광역시 미추홀구 주안로 107 (주안동)
3rd row인천광역시 미추홀구 송림로307번길 132 (도화동)
4th row인천광역시 미추홀구 매소홀로290번길 32 인천미추홀경찰서 구내식당 (학익동)
5th row인천광역시 미추홀구 주안로104번길 34 (주안동)
ValueCountFrequency (%)
인천광역시 285
 
17.4%
미추홀구 285
 
17.4%
주안동 117
 
7.1%
용현동 44
 
2.7%
도화동 41
 
2.5%
학익동 36
 
2.2%
숭의동 28
 
1.7%
석정로 20
 
1.2%
인주대로 20
 
1.2%
매소홀로 20
 
1.2%
Other values (423) 742
45.3%
2023-12-13T00:43:47.949392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1470
 
17.3%
인 373
 
4.4%
홀 328
 
3.9%
미 307
 
3.6%
동 305
 
3.6%
천 304
 
3.6%
추 303
 
3.6%
구 291
 
3.4%
) 291
 
3.4%
( 291
 
3.4%
Other values (211) 4244
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5283
62.1%
Space Separator 1470
 
17.3%
Decimal Number 1125
 
13.2%
Close Punctuation 291
 
3.4%
Open Punctuation 291
 
3.4%
Dash Punctuation 24
 
0.3%
Uppercase Letter 11
 
0.1%
Math Symbol 6
 
0.1%
Lowercase Letter 5
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 373
 
7.1%
홀 328
 
6.2%
미 307
 
5.8%
동 305
 
5.8%
천 304
 
5.8%
추 303
 
5.7%
구 291
 
5.5%
시 288
 
5.5%
광 288
 
5.5%
역 286
 
5.4%
Other values (183) 2210
41.8%
Decimal Number
ValueCountFrequency (%)
1 218
19.4%
2 144
12.8%
3 135
12.0%
0 134
11.9%
4 119
10.6%
6 100
8.9%
5 95
8.4%
7 70
 
6.2%
8 64
 
5.7%
9 46
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
J 3
27.3%
T 3
27.3%
I 1
 
9.1%
A 1
 
9.1%
Y 1
 
9.1%
O 1
 
9.1%
S 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
o 1
20.0%
w 1
20.0%
e 1
20.0%
r 1
20.0%
n 1
20.0%
Space Separator
ValueCountFrequency (%)
1470
100.0%
Close Punctuation
ValueCountFrequency (%)
) 291
100.0%
Open Punctuation
ValueCountFrequency (%)
( 291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5283
62.1%
Common 3208
37.7%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 373
 
7.1%
홀 328
 
6.2%
미 307
 
5.8%
동 305
 
5.8%
천 304
 
5.8%
추 303
 
5.7%
구 291
 
5.5%
시 288
 
5.5%
광 288
 
5.5%
역 286
 
5.4%
Other values (183) 2210
41.8%
Common
ValueCountFrequency (%)
1470
45.8%
) 291
 
9.1%
( 291
 
9.1%
1 218
 
6.8%
2 144
 
4.5%
3 135
 
4.2%
0 134
 
4.2%
4 119
 
3.7%
6 100
 
3.1%
5 95
 
3.0%
Other values (6) 211
 
6.6%
Latin
ValueCountFrequency (%)
J 3
18.8%
T 3
18.8%
o 1
 
6.2%
w 1
 
6.2%
e 1
 
6.2%
I 1
 
6.2%
r 1
 
6.2%
A 1
 
6.2%
Y 1
 
6.2%
O 1
 
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5283
62.1%
ASCII 3224
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1470
45.6%
) 291
 
9.0%
( 291
 
9.0%
1 218
 
6.8%
2 144
 
4.5%
3 135
 
4.2%
0 134
 
4.2%
4 119
 
3.7%
6 100
 
3.1%
5 95
 
2.9%
Other values (18) 227
 
7.0%
Hangul
ValueCountFrequency (%)
인 373
 
7.1%
홀 328
 
6.2%
미 307
 
5.8%
동 305
 
5.8%
천 304
 
5.8%
추 303
 
5.7%
구 291
 
5.5%
시 288
 
5.5%
광 288
 
5.5%
역 286
 
5.4%
Other values (183) 2210
41.8%

지번주소
Text

Distinct263
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T00:43:48.389039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length21.653846
Min length1

Characters and Unicode

Total characters6193
Distinct characters133
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique252 ?
Unique (%)88.1%

Sample

1st row인천광역시 미추홀구 주안동 128-9
2nd row인천광역시 미추홀구 주안동 130-7
3rd row인천광역시 미추홀구 도화동 825
4th row인천광역시 미추홀구 학익동 489-2
5th row인천광역시 미추홀구 주안동 143-8
ValueCountFrequency (%)
인천광역시 279
23.6%
미추홀구 279
23.6%
주안동 116
 
9.8%
용현동 41
 
3.5%
도화동 40
 
3.4%
학익동 36
 
3.1%
숭의동 28
 
2.4%
문학동 13
 
1.1%
331-12 6
 
0.5%
관교동 6
 
0.5%
Other values (306) 336
28.5%
2023-12-13T00:43:49.035510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1188
19.2%
인 289
 
4.7%
동 288
 
4.7%
천 286
 
4.6%
미 281
 
4.5%
광 280
 
4.5%
시 280
 
4.5%
역 279
 
4.5%
추 279
 
4.5%
홀 279
 
4.5%
Other values (123) 2464
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3582
57.8%
Space Separator 1188
 
19.2%
Decimal Number 1174
 
19.0%
Dash Punctuation 232
 
3.7%
Uppercase Letter 10
 
0.2%
Lowercase Letter 5
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 289
 
8.1%
동 288
 
8.0%
천 286
 
8.0%
미 281
 
7.8%
광 280
 
7.8%
시 280
 
7.8%
역 279
 
7.8%
추 279
 
7.8%
홀 279
 
7.8%
구 279
 
7.8%
Other values (98) 762
21.3%
Decimal Number
ValueCountFrequency (%)
1 252
21.5%
2 142
12.1%
3 141
12.0%
4 117
10.0%
6 109
9.3%
5 106
9.0%
0 95
 
8.1%
8 83
 
7.1%
9 65
 
5.5%
7 64
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
T 3
30.0%
J 3
30.0%
Y 1
 
10.0%
O 1
 
10.0%
I 1
 
10.0%
S 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
20.0%
e 1
20.0%
w 1
20.0%
o 1
20.0%
n 1
20.0%
Space Separator
ValueCountFrequency (%)
1188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3582
57.8%
Common 2596
41.9%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 289
 
8.1%
동 288
 
8.0%
천 286
 
8.0%
미 281
 
7.8%
광 280
 
7.8%
시 280
 
7.8%
역 279
 
7.8%
추 279
 
7.8%
홀 279
 
7.8%
구 279
 
7.8%
Other values (98) 762
21.3%
Common
ValueCountFrequency (%)
1188
45.8%
1 252
 
9.7%
- 232
 
8.9%
2 142
 
5.5%
3 141
 
5.4%
4 117
 
4.5%
6 109
 
4.2%
5 106
 
4.1%
0 95
 
3.7%
8 83
 
3.2%
Other values (4) 131
 
5.0%
Latin
ValueCountFrequency (%)
T 3
20.0%
J 3
20.0%
r 1
 
6.7%
e 1
 
6.7%
w 1
 
6.7%
o 1
 
6.7%
Y 1
 
6.7%
n 1
 
6.7%
O 1
 
6.7%
I 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3582
57.8%
ASCII 2611
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1188
45.5%
1 252
 
9.7%
- 232
 
8.9%
2 142
 
5.4%
3 141
 
5.4%
4 117
 
4.5%
6 109
 
4.2%
5 106
 
4.1%
0 95
 
3.6%
8 83
 
3.2%
Other values (15) 146
 
5.6%
Hangul
ValueCountFrequency (%)
인 289
 
8.1%
동 288
 
8.0%
천 286
 
8.0%
미 281
 
7.8%
광 280
 
7.8%
시 280
 
7.8%
역 279
 
7.8%
추 279
 
7.8%
홀 279
 
7.8%
구 279
 
7.8%
Other values (98) 762
21.3%

사업장구분
Categorical

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
일반음식점
152 
집단급식소
121 
휴게음식점
 
10
기타
 
2
관광숙박시설
 
1

Length

Max length6
Median length5
Mean length4.9825175
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row일반음식점
2nd row일반음식점
3rd row집단급식소
4th row집단급식소
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 152
53.1%
집단급식소 121
42.3%
휴게음식점 10
 
3.5%
기타 2
 
0.7%
관광숙박시설 1
 
0.3%

Length

2023-12-13T00:43:49.245457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:43:49.403058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 152
53.1%
집단급식소 121
42.3%
휴게음식점 10
 
3.5%
기타 2
 
0.7%
관광숙박시설 1
 
0.3%

위도
Real number (ℝ)

Distinct257
Distinct (%)90.2%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean37.45685
Minimum37.434367
Maximum37.482942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T00:43:49.868563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.434367
5-th percentile37.439392
Q137.449191
median37.458596
Q337.463792
95-th percentile37.47396
Maximum37.482942
Range0.04857569
Interquartile range (IQR)0.01460123

Descriptive statistics

Standard deviation0.010618048
Coefficient of variation (CV)0.00028347413
Kurtosis-0.69555314
Mean37.45685
Median Absolute Deviation (MAD)0.00718158
Skewness-0.068684426
Sum10675.202
Variance0.00011274294
MonotonicityNot monotonic
2023-12-13T00:43:50.037215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.47395988 8
 
2.8%
37.45921884 5
 
1.7%
37.46282174 5
 
1.7%
37.45144803 4
 
1.4%
37.4481369 2
 
0.7%
37.46421944 2
 
0.7%
37.46558683 2
 
0.7%
37.46760501 2
 
0.7%
37.46052744 2
 
0.7%
37.43654516 2
 
0.7%
Other values (247) 251
87.8%
ValueCountFrequency (%)
37.43436668 1
0.3%
37.43549148 1
0.3%
37.4360004 2
0.7%
37.43654516 2
0.7%
37.43769348 1
0.3%
37.43779842 1
0.3%
37.43819562 1
0.3%
37.43823813 1
0.3%
37.43832511 1
0.3%
37.43839975 1
0.3%
ValueCountFrequency (%)
37.48294237 1
0.3%
37.47990252 1
0.3%
37.47989102 1
0.3%
37.47919416 1
0.3%
37.47862624 1
0.3%
37.47759829 1
0.3%
37.47518834 1
0.3%
37.4751727 1
0.3%
37.4740242 1
0.3%
37.47398641 1
0.3%

경도
Real number (ℝ)

Distinct257
Distinct (%)90.2%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean126.66858
Minimum126.63226
Maximum126.69722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T00:43:50.198654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63226
5-th percentile126.63559
Q1126.65411
median126.67193
Q3126.68225
95-th percentile126.69091
Maximum126.69722
Range0.0649599
Interquartile range (IQR)0.0281384

Descriptive statistics

Standard deviation0.017558996
Coefficient of variation (CV)0.00013862155
Kurtosis-0.95296426
Mean126.66858
Median Absolute Deviation (MAD)0.0130706
Skewness-0.46754242
Sum36100.546
Variance0.00030831833
MonotonicityNot monotonic
2023-12-13T00:43:50.387989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6519987 8
 
2.8%
126.6439461 5
 
1.7%
126.6809926 5
 
1.7%
126.6515423 4
 
1.4%
126.649106 2
 
0.7%
126.6814824 2
 
0.7%
126.6435082 2
 
0.7%
126.6588643 2
 
0.7%
126.6798378 2
 
0.7%
126.6864606 2
 
0.7%
Other values (247) 251
87.8%
ValueCountFrequency (%)
126.6322635 1
0.3%
126.6324915 1
0.3%
126.6330509 1
0.3%
126.6331014 1
0.3%
126.633135 1
0.3%
126.6336152 1
0.3%
126.6338533 1
0.3%
126.6339561 1
0.3%
126.6342635 1
0.3%
126.6345991 1
0.3%
ValueCountFrequency (%)
126.6972234 1
0.3%
126.6965588 1
0.3%
126.6957692 1
0.3%
126.6943547 1
0.3%
126.6940513 1
0.3%
126.692997 1
0.3%
126.69278 1
0.3%
126.6925849 1
0.3%
126.6923923 1
0.3%
126.6920966 1
0.3%

Interactions

2023-12-13T00:43:45.838810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:43:45.090799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:43:45.486312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:43:45.937807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:43:45.211476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:43:45.616610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:43:46.037070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:43:45.333343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:43:45.717829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:43:50.512426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장구분위도경도
연번1.0000.3020.1020.000
사업장구분0.3021.0000.3930.344
위도0.1020.3931.0000.712
경도0.0000.3440.7121.000
2023-12-13T00:43:50.641287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도사업장구분
연번1.0000.017-0.0310.126
위도0.0171.000-0.0710.172
경도-0.031-0.0711.0000.148
사업장구분0.1260.1720.1481.000

Missing values

2023-12-13T00:43:46.172380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:43:46.289601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T00:43:46.388922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번업체명도로명주소지번주소사업장구분위도경도
01(주)드림팰리스인천광역시 미추홀구 주안로 103-18 (주안동)인천광역시 미추홀구 주안동 128-9일반음식점37.464576126.681678
12조가네정육식당인천광역시 미추홀구 주안로 107 (주안동)인천광역시 미추홀구 주안동 130-7일반음식점37.464278126.681726
23씨제이프레시웨이 이건산업점인천광역시 미추홀구 송림로307번길 132 (도화동)인천광역시 미추홀구 도화동 825집단급식소37.479903126.661794
34인천미추홀경찰서인천광역시 미추홀구 매소홀로290번길 32 인천미추홀경찰서 구내식당 (학익동)인천광역시 미추홀구 학익동 489-2집단급식소37.442726126.653375
45쨍하고회뜰날인천광역시 미추홀구 주안로104번길 34 (주안동)인천광역시 미추홀구 주안동 143-8일반음식점37.462394126.680927
56한국폴리텍대학 남인천캠퍼스인천광역시 미추홀구 염전로333번길 23 (주안동)인천광역시 미추홀구 주안동 1389-2집단급식소37.472648126.677334
67(주)아워홈 나우테크주안점인천광역시 미추홀구 주염로73번길 38 (주안동)인천광역시 미추홀구 주안동 3-23집단급식소37.472924126.68273
78(의)아인의료재단 서울여성병원인천광역시 미추홀구 경원대로 771 (주안동)인천광역시 미추홀구 주안동 1534-4집단급식소37.451529126.689327
89(의)아인의료재단 서울산후조리원인천광역시 미추홀구 경원대로 766 (주안동)인천광역시 미추홀구 주안동 1560-1집단급식소37.451101126.690385
910본우리집밥 인천지방검찰청인천광역시 미추홀구 소성로163번길 49 (학익동)인천광역시 미추홀구 학익동 278-1집단급식소37.443177126.669331
연번업체명도로명주소지번주소사업장구분위도경도
276277인천병무지청 복지위원회인천광역시 미추홀구 노적산로 76 인천병무지청 (학익동)인천광역시 미추홀구 학익동 545-1집단급식소37.439764126.657224
277278일백집 서울포차인천광역시 미추홀구 주안로104번길 37 세원빌딩 102호 (주안동)인천광역시 미추홀구 주안동 150-4일반음식점37.462248126.681375
2782791943 주안점인천광역시 미추홀구 주안로104번길 37 세원빌딩 3층 301호 (주안동)인천광역시 미추홀구 주안동 150-4일반음식점37.462248126.681375
279280일백집 서울포차 인하대점인천광역시 미추홀구 경인남길30번길 65 대동빌딩 1층 102-1호 (용현동)인천광역시 미추홀구 용현동 182-21일반음식점37.451723126.658128
280281한돈숯불갈비인천광역시 미추홀구 제일로 42 2층 (도화동)인천광역시 미추홀구 도화동 445-14일반음식점37.458596126.67471
281282CJ프레시웨이 서울산후조리원인천광역시 미추홀구 경원대로 768 삼보빌딩 7층 (주안동)인천광역시 미추홀구 주안동 1560집단급식소37.451295126.690157
282283대박한식뷔페인천광역시 미추홀구 인주대로 332 205206호 (주안동)인천광역시 미추홀구 주안동 1422일반음식점37.451415126.673372
283284얼음소금회 상차린인천광역시 미추홀구 경인로425번길 6 신화빌딩 1층 (주안동)인천광역시 미추홀구 주안동 1007-4일반음식점37.45831126.687612
284285어사출또인천광역시 미추홀구 낙섬서로 36 (용현동)인천광역시 미추홀구 용현동 621-22일반음식점37.452583126.635584
285286백년풍천장어인천광역시 미추홀구 송림로 247 우주프라자 302-303호 (도화동)인천광역시 미추홀구 도화동 992-7일반음식점37.475188126.660308